Detail publikace

DEEP NEURAL NETWORK FOR AUTONOMOUS UAV NAVIGATION

KLOUDA, J.

Originální název

DEEP NEURAL NETWORK FOR AUTONOMOUS UAV NAVIGATION

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

Originální abstrakt

The project deals with autonomous drone control. A neural network is used to create autonomous control for object recognition. This recognition is performed with a ground station, where the computer evaluates the position of the drone and autonomously controls the flight of the drone through the detection of objects.

Klíčová slova

UAV, drone, Python, autonomous navigation, object recognation

Autoři

KLOUDA, J.

Vydáno

27. 4. 2021

Nakladatel

Brno University of Technology, Faculty of Electrical Engineering and Communication

Místo

Brno

ISBN

978-80-214-5943-4

Kniha

PROCEEDINGS II OF THE 27TH STUDENT EEICT 2021 selected papers

Edice

1

Strany od

17

Strany do

20

Strany počet

4

URL

https://www.eeict.cz/eeict_download/archiv/sborniky/EEICT_2021_sbornik_2_v3_DOI.pdf

BibTex

@inproceedings{BUT183888,
  author="Jan {Klouda}",
  title="DEEP NEURAL NETWORK FOR AUTONOMOUS UAV NAVIGATION",
  booktitle="PROCEEDINGS II OF THE 27TH STUDENT EEICT 2021 selected papers",
  year="2021",
  series="1",
  pages="17--20",
  publisher="Brno University of Technology, Faculty of Electrical Engineering and Communication",
  address="Brno",
  doi="10.13164/eeict.2021.17",
  isbn="978-80-214-5943-4",
  url="https://www.eeict.cz/eeict_download/archiv/sborniky/EEICT_2021_sbornik_2_v3_DOI.pdf"
}